Structural health and condition monitoring via electrical impedance tomography in self-sensing materials: a review

TN Tallman, DJ Smyl - Smart Materials and Structures, 2020 - iopscience.iop.org
Much recent work has been devoted to utilizing changes in either the inherent or imparted
electrical conductivity of self-sensing materials as an indicator of damage, deformation or …

Application of electrical capacitance tomography in pharmaceutical fluidised beds–a review

H Wang, W Yang - Chemical Engineering Science, 2021 - Elsevier
Fluidised beds are commonly used in the pharmaceutical industry for granulation, drying
and coating of powder or pellets. The product quality strongly depends on the operation of …

Logistic regression for machine learning in process tomography

T Rymarczyk, E Kozłowski, G Kłosowski, K Niderla - Sensors, 2019 - mdpi.com
The main goal of the research presented in this paper was to develop a refined machine
learning algorithm for industrial tomography applications. The article presents algorithms …

[HTML][HTML] Fuzzy logic type-2 intelligent moisture control system

M Woźniak, J Szczotka, A Sikora, A Zielonka - Expert Systems with …, 2024 - Elsevier
In this article we present a model of adjustable moisture control for historical buildings.
Proposed system is developed in a form of flexible IoT infrastructure in which a complex …

Comparison of selected machine learning algorithms for industrial electrical tomography

T Rymarczyk, G Kłosowski, E Kozłowski, P Tchórzewski - Sensors, 2019 - mdpi.com
The main goal of this work was to compare the selected machine learning methods with the
classic deterministic method in the industrial field of electrical impedance tomography. The …

[HTML][HTML] Optimising the use of Machine learning algorithms in electrical tomography of building Walls: Pixel oriented ensemble approach

T Rymarczyk, G Kłosowski, A Hoła, J Sikora… - Measurement, 2022 - Elsevier
This paper presents the results of research on identifying moisture inside the walls of
buildings with the use of electrical impedance tomography (EIT). The original, complex pixel …

Electrical resistivity measurements for nondestructive evaluation of chloride-induced deterioration of reinforced concrete—A review

KPV Robles, JJ Yee, SH Kee - Materials, 2022 - mdpi.com
The objective of this study is to review, evaluate, and compare the existing research and
practices on electrical resistivity as a nondestructive technique in evaluating chloride …

Random forest algorithm and support vector machine for nondestructive assessment of mass moisture content of brick walls in historic buildings

A Hoła, S Czarnecki - Automation in Construction, 2023 - Elsevier
The article presents the results of experimental research and numerical analyses, and also
shows the usefulness of the random forest algorithm and the support vector machine for the …

Comparison of machine learning methods in electrical tomography for detecting moisture in building walls

T Rymarczyk, G Kłosowski, A Hoła, J Sikora… - Energies, 2021 - mdpi.com
This paper presents the results of research on the use of machine learning algorithms and
electrical tomography in detecting humidity inside the walls of old buildings and structures …

Comparison of machine learning methods for image reconstruction using the LSTM classifier in industrial electrical tomography

G Kłosowski, T Rymarczyk, K Niderla, M Rzemieniak… - Energies, 2021 - mdpi.com
Electrical tomography is a non-invasive method of monitoring the interior of objects, which is
used in various industries. In particular, it is possible to monitor industrial processes inside …